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SR4RS Pre-trained models

Notes

  • The checkpoints can be used to start the training in train.py (use the --load_ckpt parameter). You can retrieve the training parameters values from the checkpoint file name.
  • The SavedModels can be used directly on remote sensing images from sr.py to generate high-resolution images.
  • Before applying a model, check that your input image has the same spectral content/bands + in the same order as indicated in the table below.

Pre-trained model for Sentinel-2

The model aims to upscale Sentinel-2 images from 10 meters to 2.5 meters, with the four spectral bands ordered in the following:

order band
1 red (B4)
2 green (B3)
3 blue (B2)
4 near infrared (B8)

The model was trained from 250 different Spot-6 and Spot-7 scenes covering the entire France Mainland, acquired during the year 2020, from march to october, and the Sentinel-2 images acquired close to the same day. We used TOC Sentinel-2 products from the THEIA Land data center. Spot-6 and Spot-7 images were interpolated at 2.5 meters and radiometrically calibrated to match the Sentinel-2 radiometry. Around 150k patches were used to train the model.

You can download the pre-trained model here: